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The H13-311-ENU certification exam is part of the Huawei Certified ICT Associate-Artificial Intelligence (HCIA-AI) program. The program is designed for individuals who want to develop their knowledge and skills in AI, machine learning, deep learning, and other related fields. HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence) certification exam is a comprehensive test that covers a wide range of topics, including AI technologies, data processing, and machine learning algorithms.
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: AI Application Practice | - Basic model training and deployment concepts
- End-to-end AI solution workflow
|
| Topic 2: Huawei AI Development Platform and Tools | - MindSpore framework introduction
- ModelArts platform basics
|
| Topic 3: Artificial Intelligence Fundamentals | - AI concepts and development history
- AI application scenarios and industry overview
|
| Topic 4: Data Processing and Feature Engineering | - Data cleaning and preprocessing
- Feature extraction and selection
|
| Topic 5: Machine Learning Basics | - Common algorithms overview (regression, classification, clustering)
- Supervised and unsupervised learning
|
| Topic 6: Deep Learning Fundamentals | - CNN and RNN principles
- Neural network basics
|
| Topic 7: Computer Vision and NLP Basics | - Natural language processing fundamentals
- Image recognition and processing
|